activity
20172022
most citedSolving workflow scheduling problems with QUBO modeling

6 citations · 6 across the 1 of their papers we have counts for

collaborators

5 papers

quant-ph20226 cited

Solving workflow scheduling problems with QUBO modeling

A. I. Pakhomchik, S. Yudin, M. R. Perelshtein +2

In this paper we investigate the workflow scheduling problem, a known NP-hard class of scheduling problems. We derive problem instances from an industrial use case and compare agai…

quant-ph2020

Quantum Shuttle: Traffic Navigation with Quantum Computing

Sheir Yarkoni, Florian Neukart, Eliane Moreno Gomez Tagle +5

The Web Summit conference in Lisbon, Portugal, is one of the biggest technology conferences in Europe, attended by tens of thousands of people every year. The high influx of people…

quant-ph2020

Semi-supervised time series classification method for quantum computing

Sheir Yarkoni, Andrii Kleshchonok, Yury Dzerin +2

In this paper we develop methods to solve two problems related to time series (TS) analysis using quantum computing: reconstruction and classification. We formulate the task of rec…

quant-ph2017

Traffic flow optimization using a quantum annealer

Florian Neukart, Gabriele Compostella, Christian Seidel +3

Quantum annealing algorithms belong to the class of meta-heuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such a…

quant-ph2017

Quantum Annealing amid Local Ruggedness and Global Frustration

James King, Sheir Yarkoni, Jack Raymond +5

A recent Google study [Phys. Rev. X, 6:031015 (2016)] compared a D-Wave 2X quantum processing unit (QPU) to two classical Monte Carlo algorithms: simulated annealing (SA) and quant…